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DBMS > Brytlyt vs. DataFS vs. FileMaker vs. HEAVY.AI vs. Kinetica

System Properties Comparison Brytlyt vs. DataFS vs. FileMaker vs. HEAVY.AI vs. Kinetica

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDataFS  Xexclude from comparisonFileMaker  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.FileMaker is a cross-platform RDBMS that includes a GUI frontend.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSObject oriented DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMSSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitebrytlyt.ionewdatabase.comwww.claris.com/­filemakergithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.com
Technical documentationdocs.brytlyt.iodev.mobiland.com/­Overview.xspwww.claris.com/­resources/­documentationdocs.heavy.aidocs.kinetica.com
DeveloperBrytlytMobiland AGClaris infoa subsidiary of AppleHEAVY.AI, Inc.Kinetica
Initial release20162018198320162012
Current release5.0, August 20231.1.263, October 202219.4.1, November 20215.10, January 20227.1, August 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++ and CUDAC, C++
Server operating systemsLinux
OS X
Windows
WindowsiOS infoclient part only
Linux
OS X
Windows
LinuxLinux
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yes infospecific XML-type available, but no XML query functionality.noyes infoA http query request can return the data in XML formatnono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyesnoyes infovia pluginsyesSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
Proprietary client DLL
WinRT client
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C#
C++
VB.Net
PHPAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyesnouser defined functions
Triggersyesno, except callback-events from server when changes happenedyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnoneSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication, warm standby infosince Version 14Multi-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardWindows-Profilesimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
BrytlytDataFSFileMakerHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Kinetica
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